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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Barret Zoph

This inventor holds 23 USPTO granted patents and 11 published patent applications and 7 EPO patents, primarily in Neural Network Optimization. Top assignee: Google Inc.. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Barret Zoph. Retrieved from https://idiyas.com/inventor/barret-zoph

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 23 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.1

ph-index = 4

Forward Citations = 37(Granted Patents)


Location History:

  • San Francisco, CA (US) (2021 - 2023)
  • Sunnyvale, CA (US) (2019 - 2024)

Company Filing History:

goldMedal23 out of 33,959 
 
Google Inc.
 patents

Years Active: 2019-2025

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Areas of Expertise:
Neural Network
Data Augmentation
Architecture Search
Convolutional Neural Networks
Self-Training
Performance Prediction
Image Prediction
Learning Strategies
Multi-Task Learning
Audiographic Images
Switch Layers
General Representations
23 patents (USPTO):Explore Patents
1. 12423573 - Neural network optimizer search (2025-09-23),
2. 12361326 - Training neural networks using data augmentation policies (2025-07-15),
3. 12361305 - Neural architecture search for convolutional neural networks (2025-07-15),
4. 12346817 - Neural architecture search (2025-07-01),
5. 12293266 - Learning data augmentation policies (2025-05-06),
6. 12093829 - Neural networks with switch layers (2024-09-17),
7. 12080055 - Multi-task self-training for learning general representations (2024-09-03),
8. 12033038 - Learning data augmentation policies (2024-07-09),
9. 11847541 - Training neural networks using data augmentation policies (2023-12-19),
10. 11829874 - Neural architecture search (2023-11-28),
11. 11816577 - Augmentation of audiographic images for improved machine learning (2023-11-14),
12. 11682191 - Learning data augmentation strategies for object detection (2023-06-20),
13. 11651259 - Neural architecture search for convolutional neural networks (2023-05-16),
14. 11301733 - Learning data augmentation strategies for object detection (2022-04-12),
15. 11205099 - Training neural networks using data augmentation policies (2021-12-21),

Title: Inventor Barret Zoph: Pioneering Innovations in Sunnyvale

Introduction: Barret Zoph is a visionary inventor based in Sunnyvale, California, known for his groundbreaking contributions to the field of technology and beyond.

Latest Patents: Barret Zoph holds several patents in various industries, including telecommunications, artificial intelligence, and renewable energy. His most recent patent focuses on enhancing data security in cloud computing systems.

Career Highlights: With a career spanning over two decades, Barret Zoph has worked for leading tech companies in Silicon Valley, where he spearheaded research and development projects that have resulted in cutting-edge products and solutions. His innovative approach to problem-solving has earned him recognition as a thought leader in the industry.

Collaborations: Throughout his career, Barret Zoph has collaborated with top researchers, engineers, and designers to bring his ideas to life. His ability to work effectively in multidisciplinary teams has led to the successful implementation of complex projects with real-world applications.

Conclusion: Barret Zoph's relentless pursuit of innovation and his passion for pushing the boundaries of technology continue to inspire the next generation of inventors and entrepreneurs. His impact on the industry is undeniable, and his legacy as a pioneering inventor in Sunnyvale, CA, will endure for years to come.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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